{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# file header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dell/anaconda3/envs/CX/lib/python3.8/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.3\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n",
      "2025-04-02 10:03:32.055281: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-04-02 10:03:32.128286: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-04-02 10:03:32.129704: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2025-04-02 10:03:33.245304: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    }
   ],
   "source": [
    "import sys,os,inspect\n",
    "if hasattr(sys.modules[__name__], '__file__'):\n",
    "    _file_name = __file__\n",
    "else:\n",
    "    _file_name = inspect.getfile(inspect.currentframe())\n",
    "CURRENT_FILE_PATH = os.path.dirname(_file_name)\n",
    "sys.path.append(os.getcwd()+\"/../neuronVis\")\n",
    "sys.path.append(os.getcwd()+\"/../resource\")\n",
    "from cx_tool import *\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_path = '../resource/project_amygdala/'\n",
    "create_dir(data_path)\n",
    "CEA_data_path = data_path+'CEA/'\n",
    "create_dir(CEA_data_path)\n",
    "Isocortex_neuron_info = np.load(CEA_data_path+'Isocortex_neuron_info.npy',allow_pickle=True).item()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projection neurons from the whole brain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_path = '../resource/project_amygdala/'\n",
    "create_dir(data_path)\n",
    "amygdala_heirarchy = {'OLF':['COA'],'CTXsp':['LA','BLA','BMA','PA'],'sAMY':['AAA','BA','CEA','IA','MEA']}\n",
    "amygdala_region = []\n",
    "for i in amygdala_heirarchy:\n",
    "    for j in amygdala_heirarchy[i]:\n",
    "        amygdala_region.append(j)\n",
    "if not os.path.exists(data_path+'neuron_information.npy'):\n",
    "    amygdala_projection_neuron_name = []\n",
    "    for i in amygdala_heirarchy:\n",
    "        for j in amygdala_heirarchy[i]:\n",
    "            for k in iondata.getNeuronListByTerminalRegion(j):\n",
    "                if len(k['sampleid'])==6 and k['sampleid'][0]!='0' and len(k['name'])==7:\n",
    "                    neuron = k['sampleid']+k['name']\n",
    "                    if neuron not in amygdala_projection_neuron_name:\n",
    "                        amygdala_projection_neuron_name.append(neuron)\n",
    "    neuron_information = {}\n",
    "    for i in tool_bar(amygdala_projection_neuron_name,desc='generating neuron information...',leave=False):\n",
    "        control_console_output(0)\n",
    "        neuron_property = iondata.getNeuronPropertyByID(i[:-7],i[-7:])\n",
    "        neuron_information[i] = {}\n",
    "        neuron_information[i]['cortex_region'] = neuron_property['somaregion']\n",
    "        neuron_information[i]['axonal_projection_terminal_combined'] = get_axonal_statics_by_regions(i,amygdala_region,'terminalregion')\n",
    "        neuron_information[i]['soma_position'] = neuron_property['somapoint']\n",
    "        control_console_output(1)\n",
    "    np.save(data_path+'neuron_information.npy',neuron_information)\n",
    "else:\n",
    "    neuron_information = np.load(data_path+'neuron_information.npy',allow_pickle=True).item()\n",
    "    amygdala_projection_neuron_name = list(neuron_information.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cortex->CEA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating isocortex data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "CEA_data_path = data_path+'CEA/'\n",
    "create_dir(CEA_data_path)\n",
    "cortex_region = ['FRP','PL','ILA','ORB','ACA','AI','GU','VISC','PTLp','RSP','TEa','ECT','PERI','MOs','MOp','SSp','SSs','AUD','VIS']\n",
    "CEA_region = ['CEAl','CEAc','CEAm']\n",
    "cortex_region_to_subregion,cortex_subregion_to_region = get_subregions(cortex_region)\n",
    "if not os.path.exists(CEA_data_path+'Isocortex_neuron_info.npy'):\n",
    "    mask = get_region_mask('Isocortex')\n",
    "    Isocortex_neuron_info = {}\n",
    "    for i in amygdala_projection_neuron_name:\n",
    "        region = int(get_mask_value(mask,np.array(neuron_information[i]['soma_position'])/10))\n",
    "        if region>0:\n",
    "            Isocortex_neuron_info[i] = {}\n",
    "    for i in tool_bar(Isocortex_neuron_info):\n",
    "        neuron_property = iondata.getNeuronPropertyByID(i[:-7],i[-7:])\n",
    "        Isocortex_neuron_info[i]['soma_position'] = neuron_property['somapoint']\n",
    "        Isocortex_neuron_info[i]['soma_hemisphere'] = 'left' if neuron_property['somapoint'][2]<5700 else 'right'\n",
    "        a,b = region_layer_seperate(neuron_property['somaregion'])\n",
    "        Isocortex_neuron_info[i]['cortex_region'] = cortex_subregion_to_region[neuron_property['somaregion']]\n",
    "        Isocortex_neuron_info[i]['cortex_subregion'] = a[len(Isocortex_neuron_info[i]['cortex_region']):]\n",
    "        if Isocortex_neuron_info[i]['cortex_region']=='PTLp' and a[:4]!='PTLp':\n",
    "            Isocortex_neuron_info[i]['cortex_subregion'] = a[3:]\n",
    "        Isocortex_neuron_info[i]['cortex_layer'] = b\n",
    "        if len(Isocortex_neuron_info[i]['cortex_subregion'])!=0 and Isocortex_neuron_info[i]['cortex_subregion']=='-':\n",
    "            Isocortex_neuron_info[i]['cortex_subregion'] = Isocortex_neuron_info[i]['cortex_subregion'][1:]\n",
    "        Isocortex_neuron_info[i]['axonal_projection_length_combined'] = get_axonal_statics_by_regions(i,CEA_region,'projectregion')\n",
    "        Isocortex_neuron_info[i]['axonal_projection_length_left'] = get_axonal_statics_by_regions(i,CEA_region,'projectleftregion')\n",
    "        Isocortex_neuron_info[i]['axonal_projection_length_right'] = get_axonal_statics_by_regions(i,CEA_region,'projectrightregion')\n",
    "        Isocortex_neuron_info[i]['axonal_projection_terminal_combined'] = get_axonal_statics_by_regions(i,CEA_region,'terminalregion')\n",
    "        Isocortex_neuron_info[i]['axonal_projection_terminal_left'] = get_axonal_statics_by_regions(i,CEA_region,'terminalleftregion')\n",
    "        Isocortex_neuron_info[i]['axonal_projection_terminal_right'] = get_axonal_statics_by_regions(i,CEA_region,'terminalrightregion')\n",
    "        Isocortex_neuron_info[i]['dendrite_terminal_point'] = []\n",
    "        Isocortex_neuron_info[i]['axon_terminal_point'] = []\n",
    "        control_console_output(0)\n",
    "        neuron_tree = iondata.getNeuronTreeByID(i[:-7],i[-7:])\n",
    "        control_console_output(1)\n",
    "        for terminal in neuron_tree.terminals:\n",
    "            if terminal.type==3:\n",
    "                Isocortex_neuron_info[i]['dendrite_terminal_point'].append(terminal.xyz)\n",
    "            else:\n",
    "                Isocortex_neuron_info[i]['axon_terminal_point'].append(terminal.xyz)\n",
    "        tmp = compute_flatten_position_and_depth([Isocortex_neuron_info[i]['soma_position']])[0]\n",
    "        Isocortex_neuron_info[i]['soma_depth'] = tmp[0]\n",
    "        Isocortex_neuron_info[i]['soma_outter_position'] = tmp[1]\n",
    "        Isocortex_neuron_info[i]['soma_inner_position'] = tmp[2]\n",
    "        Isocortex_neuron_info[i]['soma_flatten_position'] = tmp[3]\n",
    "    r = 50.0\n",
    "    X = []\n",
    "    for neuron in Isocortex_neuron_info:\n",
    "        X.append(Isocortex_neuron_info[neuron]['soma_inner_position'])\n",
    "    X = np.array(X)\n",
    "    for i in list(Isocortex_neuron_info.keys()):\n",
    "        if np.sum(Isocortex_neuron_info[i]['axonal_projection_terminal_combined'])==0:\n",
    "            del Isocortex_neuron_info[i]\n",
    "    density_info = {}\n",
    "    for neuron in Isocortex_neuron_info:\n",
    "        tmp = np.linalg.norm(np.array(Isocortex_neuron_info[neuron]['soma_inner_position'])-X,axis=-1)\n",
    "        mask = np.sum(tmp<r)\n",
    "        density_info[neuron] = np.sum(mask*(r-tmp))\n",
    "    _max = np.max(list(density_info.values()))\n",
    "    for neuron in Isocortex_neuron_info:\n",
    "        Isocortex_neuron_info[neuron]['relative_density'] = density_info[neuron]/_max\n",
    "    np.save(CEA_data_path+'Isocortex_neuron_info.npy',Isocortex_neuron_info)\n",
    "else:\n",
    "    Isocortex_neuron_info = np.load(CEA_data_path+'Isocortex_neuron_info.npy',allow_pickle=True).item()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Region statics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_distribution = {}\n",
    "for i in Isocortex_neuron_info:\n",
    "    r = Isocortex_neuron_info[i]['cortex_region']\n",
    "    if r not in region_distribution:\n",
    "        region_distribution[r] = []\n",
    "    region_distribution[r].append(i)\n",
    "for i,j in enumerate(list(region_distribution.keys())):\n",
    "    save_scene(region_distribution[j],color_pool[i%12],CEA_data_path+j)\n",
    "for i in region_distribution:\n",
    "    region_distribution[i] = len(region_distribution[i])\n",
    "tmp = list(region_distribution.keys())\n",
    "region_distribution['others'] = 0\n",
    "_sum = np.sum(list(region_distribution.values()))\n",
    "for i in tmp:\n",
    "    if (region_distribution[i]/_sum)<0.05:\n",
    "        region_distribution['others'] += region_distribution[i]\n",
    "        del region_distribution[i]\n",
    "plt.figure(figsize=(5,5))\n",
    "def func(pct, allvals):\n",
    "    absolute = int(np.round(pct/100.*np.sum(allvals)))\n",
    "    return f\"{pct:.1f}%\\n({absolute:d})\"\n",
    "plt.pie(region_distribution.values(),labels=region_distribution.keys(),radius=1,startangle=90,colors=color_pool[0:4],explode=[0.05 for i in region_distribution], autopct=lambda pct: func(pct,list(region_distribution.values())))\n",
    "plt.pie([10],colors=['w'],radius=0.4)\n",
    "plt.title('Region distribution',fontsize=fontsize_title)\n",
    "plt.rcParams['pdf.fonttype'] = 42\n",
    "plt.rcParams['ps.fonttype'] = 42\n",
    "plt.savefig(CEA_data_path+'neurons_region_distribution.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Soma location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = []\n",
    "Y = []\n",
    "for i in Isocortex_neuron_info:\n",
    "    if np.sum(Isocortex_neuron_info[i]['axonal_projection_terminal_combined'])>0:\n",
    "        X.append(Isocortex_neuron_info[i]['soma_position'])\n",
    "        if X[-1][2]>5700:\n",
    "            X[-1][2] = 11400-X[-1][2]\n",
    "        Y.append([1,0,0])\n",
    "neuronvis = nv.neuronVis(size=(1920,1080))\n",
    "neuronvis.render.setBackgroundColor((1.0,1.0,1.0,1.0))\n",
    "draw_points(neuronvis,X,Y)\n",
    "neuronvis.render.setPointSize(8)\n",
    "set_view(neuronvis,'left')\n",
    "neuronvis.render.savepng(CEA_data_path+'soma_location.png')\n",
    "neuronvis.render.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connection density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info = {}\n",
    "for i in Isocortex_neuron_info:\n",
    "    r = Isocortex_neuron_info[i]['cortex_region']\n",
    "    info[i] = {'soma_flatten_position':Isocortex_neuron_info[i]['soma_flatten_position'],'projection_strength':np.sum(Isocortex_neuron_info[i]['axonal_projection_terminal_combined']),'relative_density':Isocortex_neuron_info[i]['relative_density'],}\n",
    "plot_connection_density(info,save_path=CEA_data_path+'connection_density.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for r in CEA_region:\n",
    "    info = {}\n",
    "    for i in Isocortex_neuron_info:\n",
    "        info[i] = {'soma_flatten_position':Isocortex_neuron_info[i]['soma_flatten_position'],'projection_strength':Isocortex_neuron_info[i]['axonal_projection_terminal_combined'][CEA_region.index(r)],'relative_density':Isocortex_neuron_info[i]['relative_density'],}\n",
    "    plot_connection_density(info,save_path=CEA_data_path+'connection_density_'+r+'.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Coprojection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import chi2_contingency\n",
    "from scipy.spatial.distance import pdist, squareform\n",
    "_flatmap = cv.imread('../resource/flatmapedge2.tif',1)\n",
    "def cluster_neuron(neurons,regions,X,save_path,circle_size=20,color_threshold=5):\n",
    "    X = np.array(X)\n",
    "    X = np.log(X+1)\n",
    "    X_length = np.linalg.norm(X,axis=-1)\n",
    "    #X_length = np.sum(X,axis=-1)\n",
    "    feature = X/np.where(X_length==0,1,X_length).reshape(-1,1)+1e-8\n",
    "    fig = plt.figure(figsize=(7,5.5))\n",
    "    ax_dendro = fig.add_axes([0.1,0.8,0.39,0.2])\n",
    "    a = pdist(feature,metric='cosine')\n",
    "    cortex_cluster_object = hierarchy.dendrogram(hierarchy.linkage(a,'ward'),distance_sort=True,orientation='top',ax=ax_dendro,color_threshold=color_threshold)\n",
    "    ax_dendro.set_xticks([],[])\n",
    "    ax_dendro.set_yticks([],[])\n",
    "    ax_dendro.set_title('Clustering',fontsize=fontsize_label)\n",
    "    cluster_object_parse = [[],[]]\n",
    "    neuron_to_cluster = {}\n",
    "    for i,j in zip(cortex_cluster_object['leaves'],cortex_cluster_object['leaves_color_list']):\n",
    "        neuron = neurons[i]\n",
    "        projection_matrix = feature[i]\n",
    "        try:\n",
    "            cluster_object_parse[0].append(color_pool_hex.index(j))\n",
    "            cluster_object_parse[1].append(projection_matrix)\n",
    "            neuron_to_cluster[neuron] = color_pool_hex.index(j)\n",
    "        except:\n",
    "            cluster_object_parse[0].append(-1)\n",
    "            cluster_object_parse[1].append(projection_matrix)\n",
    "            neuron_to_cluster[neuron] = -1\n",
    "    cluster_object_parse[1] = np.array(cluster_object_parse[1])\n",
    "    ax_matrix = fig.add_axes([0.1,0.0,0.39,0.8])\n",
    "    ax_matrix.matshow(cluster_object_parse[1].T,cmap='BuGn',aspect='auto')\n",
    "    _ = ax_matrix.set_xticks([],[])\n",
    "    ax_matrix.set_xlabel('neurons = '+str(len(neurons)),fontsize=fontsize_label)\n",
    "    cluster_object_parse_visualization_yticks = [[],[]]\n",
    "    cluster_object_parse_visualization_yticks[0] = [i for i in range(len(regions))]\n",
    "    cluster_object_parse_visualization_yticks[1] = [i if i!='unknow' else 'Spine' for i in regions]\n",
    "    #_ = ax_matrix.set_yticks(cluster_object_parse_visualization_yticks[0],cluster_object_parse_visualization_yticks[1],fontsize=fontsize_ticks)\n",
    "    ax_matrix.set_yticks(cluster_object_parse_visualization_yticks[0])\n",
    "    ax_matrix.set_yticklabels(cluster_object_parse_visualization_yticks[1])\n",
    "    ax_matrix.set_ylabel('Traget',fontsize=fontsize_label,rotation=-90).set_verticalalignment('top')\n",
    "    ax_soma = fig.add_axes([0.5,0.5,0.4,0.5])\n",
    "    cluster_info = {}\n",
    "    for i,j in enumerate(neurons):\n",
    "        _cluster = neuron_to_cluster[j]\n",
    "        if _cluster==-1:\n",
    "            print(j)\n",
    "            continue\n",
    "        if _cluster not in cluster_info:\n",
    "            cluster_info[_cluster] = []\n",
    "        cluster_info[_cluster].append([j,Isocortex_neuron_info[j]['soma_flatten_position']])\n",
    "    flatmap_tmp = _flatmap*1\n",
    "    for i in cluster_info.keys():\n",
    "        tmp3 = []\n",
    "        for j in cluster_info[i]:\n",
    "            if np.sum(abs(np.array(j[1])))!=0:\n",
    "                cv.circle(flatmap_tmp,[int(j[1][0])*2, int(j[1][1])*2],circle_size,color_pool[i]*255,-1)\n",
    "            tmp3.append(j[0])\n",
    "        save_scene(tmp3,color_pool[i],save_path+'_cluster_'+str(i+1))\n",
    "    ax_soma.imshow(flatmap_tmp)\n",
    "    ax_soma.imshow(flatmap,zorder=1)\n",
    "    ax_soma.set_xlim(flatten_map_r[0],flatten_map_r[1])\n",
    "    ax_soma.set_ylim(flatten_map_r[2],flatten_map_r[3])\n",
    "    ax_soma.set_axis_off()\n",
    "    ax_soma.set_title('Soma distribution',fontsize=fontsize_label)\n",
    "    cluster_info_transform = {}\n",
    "    for i in cluster_info:\n",
    "        for j in cluster_info[i]:\n",
    "            cluster_info_transform[j[0]] = i\n",
    "    ax_feature = fig.add_axes([0.5,0.0,0.4,0.45])\n",
    "    r = {}\n",
    "    Sp = {}\n",
    "    eee = {}\n",
    "    for i in cluster_info.keys():\n",
    "        eee[i] = []\n",
    "        r[i] = []\n",
    "        for j in cluster_info[i]:\n",
    "            r[i].append(X[neurons.index(j[0])])\n",
    "        tmp = np.mean(r[i],axis=0)\n",
    "        eee[i] = np.mean(eee[i])/np.where(np.max(tmp)==0,1,np.max(tmp))\n",
    "        tmp /= np.where(np.sum(tmp)==0,1,np.sum(tmp))\n",
    "        Sp[i] = tmp\n",
    "    _cls_list = sorted(list(cluster_info.keys()))\n",
    "    ck = [np.argmax(Sp[i]) for i in _cls_list]\n",
    "    for index,i in enumerate(sorted(range(len(ck)),key=lambda k:ck[k])):\n",
    "        ax_feature.barh([-j for j in range(len(Sp[_cls_list[i]]))],Sp[_cls_list[i]].tolist(),left=index,color=color_pool[_cls_list[i]])\n",
    "    zz = np.zeros((len(_cls_list),len(_cls_list)))\n",
    "    for i in range(len(_cls_list)):\n",
    "        for j in range(-1,i):\n",
    "            op = np.array([Sp[_cls_list[i]],Sp[_cls_list[j]]])\n",
    "            op += np.where(np.sum(op,axis=0).reshape(1,-1)==0,1,np.sum(op,axis=0).reshape(1,-1)) # zeor expectation case\n",
    "            zz[i,j] = chi2_contingency(op)[1]\n",
    "            zz[j,i] = -1\n",
    "    for i in range(len(cluster_info)-1):\n",
    "        ax_feature.axvline(i+1,linewidth=0.5,color='#AAAAAA')\n",
    "    ax_feature.set_xlim(0,len(cluster_info))\n",
    "    ax_feature.set_xticks([],[])\n",
    "    #ax_feature.set_yticks([-j for j in range(len(tmp))],cluster_object_parse_visualization_yticks[1],fontsize=fontsize_ticks if len(cluster_info)<13 else fontsize_ticks*0.4)\n",
    "    ax_feature.set_yticks([-j for j in range(len(tmp))])\n",
    "    ax_feature.set_yticklabels(cluster_object_parse_visualization_yticks[1])\n",
    "    ax_feature.yaxis.tick_right()\n",
    "    ax_feature.set_xlabel('Clusters',fontsize=fontsize_label)\n",
    "    ax_feature.set_title('Projection feature',fontsize=fontsize_label)\n",
    "    plt.rcParams['pdf.fonttype'] = 42\n",
    "    plt.rcParams['ps.fonttype'] = 42\n",
    "    plt.savefig(save_path+'_overall.pdf',format='pdf',bbox_inches='tight',dpi=100)\n",
    "    plt.show()\n",
    "    return cluster_info,zz,Sp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "Coprojection_region = ['CTX','CNU','HY','TH','MB','P','CB','MY']\n",
    "if not os.path.exists(CEA_data_path+'Coprojection_info.npy'):\n",
    "    Coprojection_info = {}\n",
    "    for i in Isocortex_neuron_info:\n",
    "        Coprojection_info[i] = {}\n",
    "        Coprojection_info[i]['axonal_projection_length_combined'] = get_axonal_statics_by_regions(i,Coprojection_region,'projectregion')\n",
    "        Coprojection_info[i]['axonal_projection_length_left'] = get_axonal_statics_by_regions(i,Coprojection_region,'projectleftregion')\n",
    "        Coprojection_info[i]['axonal_projection_length_right'] = get_axonal_statics_by_regions(i,Coprojection_region,'projectrightregion')\n",
    "        Coprojection_info[i]['axonal_projection_terminal_combined'] = get_axonal_statics_by_regions(i,Coprojection_region,'terminalregion')\n",
    "        Coprojection_info[i]['axonal_projection_terminal_left'] = get_axonal_statics_by_regions(i,Coprojection_region,'terminalleftregion')\n",
    "        Coprojection_info[i]['axonal_projection_terminal_right'] = get_axonal_statics_by_regions(i,Coprojection_region,'terminalrightregion')\n",
    "    np.save(CEA_data_path+'Coprojection_info.npy',Coprojection_info)\n",
    "else:\n",
    "    Coprojection_info = np.load(CEA_data_path+'Coprojection_info.npy',allow_pickle=True).item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "/home/dell/anaconda3/envs/CX/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.\n",
      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
      "/home/dell/anaconda3/envs/CX/lib/python3.8/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x396 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IgKADCRB0IAGCDiRA0IEECDqQAEEHEiDoQAIEHUjAEdH/ldp7JD3Z9xUfn1mS9g67iEmA/dS7UdxXcyNidnvjQII+imxvjohFw65j1LGfejeZ9hWn7kACBB1IIFPQ1w67gEmC/dS7SbOv0lyjA5llOqIDaRF0IAGCDiRA0IEECDqQwP8Dr52+yZ2bYWYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 ['CTX', 'CNU', 'HY', 'TH', 'MB', 'P', 'TH_c', 'MB_c', 'P_c']\n",
      "1 ['CTX', 'CNU']\n",
      "2 ['CTX', 'CNU', 'CTX_c', 'CNU_c']\n"
     ]
    }
   ],
   "source": [
    "threshold = 0.05\n",
    "X = []\n",
    "neuron_list = list(Isocortex_neuron_info.keys())\n",
    "target = Coprojection_region+[i+'_c' for i in Coprojection_region]\n",
    "for i in neuron_list:\n",
    "    X.append(Coprojection_info[i]['axonal_projection_length_left']+Coprojection_info[i]['axonal_projection_length_right'])\n",
    "E,zz,debug = cluster_neuron(neuron_list,target,X,save_path=CEA_data_path,circle_size=15,color_threshold=5)\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "plt.matshow(zz>0.05,vmin=0,vmax=1,cmap='GnBu')\n",
    "plt.title('Dependency',fontsize=fontsize_title)\n",
    "plt.savefig(CEA_data_path+'cluster_dependency.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()\n",
    "for i in debug:\n",
    "    _max = np.max(debug[i])\n",
    "    c = []\n",
    "    for j,k in enumerate(debug[i]):\n",
    "        if k>_max*0.5:\n",
    "            c.append(target[j])\n",
    "    print(i,c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c0XEtzXqkz+FuGTUfXzqvAT4haRNJH/wN8/AcZl3hbLes6qRb5pCIuAe4J729GXjLXDyuWa/56FTLKv9cZGaWQw53s2Z8RkjLKIe7WROOdssqh7tZE74Ik2WVw92siYrT3TLK4W7WRNl97pZRDnezJnxxbMsqh7tZAxFBJcIBb5nkcDdroJrpk6VK8wXNFiCHu1kDkfa3O9wtixzuZg1UI32y7HC37HG4mzVQHSjjPnfLIoe72Qw8HNKyyOFuZpZDDnezGfikv5ZFDnezBqqhXuhzvFv2ONzNGqhep6Pf4W4Z5HA3a2Cq5e5/E8sef2rNGqheYq/Q75a7ZY/D3awBd8tYljnczWbQ54tkWwY53M1m4Gy3LHK4m83AB6haFjnczRqoZnrF6W4Z5HA3a6Ca6UWfFdIyyOFu1oDP525Z5nA3a+DQlZjccrcMcribNVDtax+dLPe4Jmaz53A3a6B6kY4xh7tlkMPdrIFKGu4HJ0o9ronZ7DnczeooV+LQFZhGJ0uHflw1ywqHu1kdo5NTrfVKBcaL/lHVssXhblbH9B9RRybdNWPZ4nA3q2N6uPtHVcuatsNd0smS7pb0hKTHJX00nb9K0k8lPZP+PXbuqmvWHaPTWuoeDmlZ00nLvQR8MiLOAs4FPizpLOBa4K6IOB24K71vlinTW+rTw95soWs73CNie0T8Ir19AHgSWANcAtyULnYTcGmnlTTrtunDH0cm3HK3bJmTPndJpwJvAh4AToiI7WnRDuCEButcJWmjpI3Dw8NzUQ2zOTE6WaJUPnzo43ixzETJAW/Z0XG4S1oO/AD4WETsry2LZHBw3QHCEbEhItZFxLrVq1d3Wg2zObN7ZLLu/D0jxS7XxKx9HYW7pAGSYP/riLg9nf2SpJPS8pOAnZ1V0ay7dh6YaDB/vMs1MWtfJ6NlBNwAPBkRX6opuhO4Ir19BXBH+9Uz667xYpk9DVruuw5O+PS/lhmdtNzPA/4AeJukR9LpYuBzwNslPQNcmN43y4Qtu0cbXlavUoGte0a7WyGzNhXaXTEi7gUaXTp4fbuPa9Yrk6UKW/eONV1my54xTlm1lEK/j/+zhc2fULPUC7tHKZebnyCsWKqwdU/zHYDZQuBwNyO5TuqWFrtcnt89euhc72YLlcPdjKSvfaZWe1WxVGGbW++2wDncbdGrVGLWXS1b9oz6HO+2oDncbdHbeWD2QxzHJsvsOlh/yKTZQuBwt0XvxX3tdbFsb3M9s25wuNui1uygpZnsOjhBseyDmmxhcrjborZ933jDg5ZmUqnAjn0+JYEtTA53W7QighdnOGhpJlv3jPmHVVuQHO62aG3fN97x5fNGJkoMNzjRmFkvOdxtUSpXgs3DI3PyWJuGD1LxQU22wDjcbVF6ZucBxotzc/GN0Ykym3fNzY7CbK443G3R2XlgnK2753YY4/MvjzS8yIdZLzjcbVHZN1rk8W37Z15wliLgl1v3cmDcV2uyhcHhbovG/vEij2zdO28n/SqXg0e27D3i4tpmveBwt0Vh18EJHnpuD8V5vpLSRLHCxud2t31glNlccbhbrkUEz+0a4Zdb5q/FPl2pHDy8ZU96VSePorHeaPtKTGYL3cGJEk+8uJ/9Y93vB69U4OkdB3hp/zhnvXIlSwf9r2bd5U+c5c7oZIktu8fYtneUSo9P/bJ3tMj9m19m7bFLOWXVUoYG+ntbIVs0HO6WG/tGizy/e4ThAxNtny9mPlQq8MLLo2zZPcoJK4c45bilrBwa6HW1LOcc7pZZEcH+sRK7RibYdWCCA+MLe5RKRHKisR37xll51ADHLx/kuOVLWDlUQGp0rXmz9jjcLVMmSxV2j0yy6+AEL49Mzvvol/myf6zI/rEim4dHGCz0sWrZIKtXLGHVskEG+j3OwTrncLcFa7xY5sB4iZGJEgcnSodu581kqXKoRS/BsiUFllenoeSv++ptthzu1nOlcoWRiTIHJoocnChxcDwJ81KLF6zOkwiS7Z/WxVToFyuGCixfMnAo8JcvKdDf5+4cq8/hbvMqIpgoVZgoVhgvlQ/9HS+WGS9WGC+WZ3390sWoVA72jBTZM3L4sM4lA30sKfQzNNDH0EA/Q+ntJQP9LCn0saTQ5/78Rcrhbh0pliuHBfVEaer2eLHCRKm8oEau5M1EMdlx7m9wHrS+Pg6Ff/I3Cf2hgakdgvv488nhbodUKsFkuUKxXKFYDorlCpOlytS80lT5ZCn56+Be2CoVGJsspxclqX8wV18fDPT3HZoG+/sYLPQx0K/kfqFapuR2Xx997g5a8BzuORURlCpxRChXp4nSVIAX0wBfjH3cluwAJirJN4BWFfrFYH8fA4VkZ5DsBHT4TiItK/SLQp/cPdRlDvcFLCIoloNSJQniUrkyFdjp/UblDmqbT6VyUCqXocXLFErQ35eEf6FPDKTfAPr7xGBBFPqSnUC1vNA/9c3BO4b2ONzn2WEBXQqKlSR4i2kQl2q6QKZCOlmu7IC2nIio2SG0ob9fDNTsAAb6kx3CQH+yIyhUdxzpcgOFqfLFumNwuLeoUkkCt9pCrnZjlMpJl0dteBdLbkGbzaVyOSiXy41+NmhqaofQd6g7qZDuHKq3B2q/KaQ7iKz/rrAow71SiUPD8orlCsVKpIFcYbI01c1RDediudK108Wa2dyqfmMYY3bfGhp9W6h2IyVdS0lZdfTRQvqWkMtwr46tHi+WGSsmIwXGisnY6rFJD88zs5nN9tuCRBrySdAfNdDPUYP9HDUwNQS1m+Gf+XAfL5bZsW88CfFimfHJMuOlcs9P9Wpmi0tE7bDTI/X1TYX/UQP9LB3s54SVQ/N2aonMH70wNNDPiUcPsXxJgYhgdNLBbmYLT/WYgwhYMVTgxKPnL9hhnlruki4CvgL0A9+OiM/Nx/NUDQ30c/KqpZy8ainjxTLDBybY76vQ13XtDx7tdRUyY9ue5LDPr9z1Tz2uSbZ87t1v6HUVFqSjjxrgFSuGGCx0p0095+EuqR/4K+DtwFbgQUl3RsQTc/1c9VSD3urz5d5ad/aao3tdhUx6/Sv9ui0E8/Gf/hZgU0RsBpD0N8AlQFfC3Zq75Y/e2usqmFkXzEe4rwG21NzfCvzz6QtJugq4Kr17UNLT81CX+XY8sKvXleiyxbbNi217wducJa9qVNCz7+gRsQHY0KvnnwuSNkbEul7Xo5sW2zYvtu0Fb3NezEfP/jbg5Jr7a9N5ZmbWJfMR7g8Cp0s6TdIgcBlw5zw8j5mZNTDn3TIRUZL0EeDvSYZCficiHp/r51kgMt2t1KbFts2LbXvB25wLCh+Hb2aWO5k/QtXMzI7kcDczyyGH+wwkXSTpaUmbJF1bp/wUSXdLeljSo5Iu7kU951IL2/wqSXel23uPpLW9qOdckvQdSTslPdagXJK+mr4mj0p6c7frOJda2N4zJd0naULSn3S7fvOhhW2+PH1vfyXp55Le2O06ziWHexM1p1J4J3AW8D5JZ01b7N8Dt0bEm0hGBn29u7WcWy1u8xeB70XEG4DPAJ/tbi3nxY3ARU3K3wmcnk5XAd/oQp3m0400397dwNUk73Ve3EjzbX4WOD8ifh34j2T8R1aHe3OHTqUQEZNA9VQKtQJYmd4+Gnixi/WbD61s81nAP6S3765TnjkR8TOSQGvkEpIdWkTE/cAxkk7qTu3m3kzbGxE7I+JB2rr20cLUwjb/PCL2pHfvJzlGJ7Mc7s3VO5XCmmnLXA/8a0lbgR8Bf9ydqs2bVrb5l8Dvprd/B1gh6bgu1K2XWnldLD+uBH7c60p0wuHeufcBN0bEWuBi4PuS8v66/glwvqSHgfNJjkBu78rHZguMpN8kCfdrel2XTvj8r821ciqFK0n78SLiPklDJCch2tmVGs69Gbc5Il4kbblLWg68OyL2dq2GveHTaiwCkt4AfBt4Z0S83Ov6dCLvLcxOtXIqhReA9QCSXgcMAcNdreXcmnGbJR1f8+3k08B3ulzHXrgTeH86auZcYF9EbO91pWzuSDoFuB34g4jI/BVa3HJvotGpFCR9BtgYEXcCnwT+s6SPk/y4+oHI8GG/LW7zBcBnJQXwM+DDPavwHJF0M8l2HZ/+fnIdMAAQEd8k+T3lYmATMAp8sDc1nRszba+kE4GNJIMFKpI+BpwVEft7VOWOtfAe/zlwHPD19ELWpSyfKdKnHzAzyyF3y5iZ5ZDD3cwshxzuZmY55HA3M8shh7uZWQ453M3McsjhbmaWQ/8f9Mu3shkSqZwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for cluster in [2,3,4,0,1]:\n",
    "    X = []\n",
    "    for neuron in E[cluster]:\n",
    "        X.append(np.sum(Isocortex_neuron_info[neuron[0]]['axonal_projection_terminal_combined']))\n",
    "    plt.violinplot(X)\n",
    "    plt.ylim(0,100)\n",
    "    plt.title(f'{cluster+1}_{np.mean(X)}')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/221512/018.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/195042/060.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/220196/405.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/221726/044.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/231567/097.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/220195/521.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/200311/023.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/221718/078.swc\n",
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      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/194780/021.swc\n",
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      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/221735/008.swc\n",
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      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/195834/019.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/233794/076.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/195046/079.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/201401/020.swc\n",
      "exist  /home/dell/CX/cx_project/neuron-vis/project_amygdala/../neuronVis/../resource/swc/233794/011.swc\n"
     ]
    }
   ],
   "source": [
    "neuronvis = nv.neuronVis(size=(1200,900))\n",
    "neuronvis.render.setBackgroundColor((1.0,1.0,1.0,1.0))\n",
    "neuronvis.render.setPointSize(3)\n",
    "for cluster in E:\n",
    "    neuronvis.clear(root=False)\n",
    "    for neuron in np.random.choice([i[0] for i in E[cluster]],50,replace=False):\n",
    "        X = []\n",
    "        neuron_tree = iondata.getNeuronTreeByID(neuron[:-7],neuron[-7:])\n",
    "        neuron_tree.somaRadius = 10\n",
    "        neuronvis.addNeuronTree(neuron_tree,axonColor=color_pool[cluster],somaColor=[0.5,0.5,0.5],dendriteColor=[0.5,0.5,0.5],mirrorToRight=True,isLine=True,dendriteHide=True)\n",
    "        for terminal in neuron_tree.terminals:\n",
    "            X.append(terminal.xyz.copy())\n",
    "            if neuron_tree.root.z<7500:\n",
    "                X[-1][2] = 11400-X[-1][2]\n",
    "    for i in ['anterior','posterior','left','right','dorsal','ventral']:\n",
    "        set_view(neuronvis,i)\n",
    "        neuronvis.render.savepng(CEA_data_path+f'cluster_{cluster+1}_axon_{i}_.png')\n",
    "    neuronvis.clear(root=False)\n",
    "    draw_points(neuronvis,X,[color_pool[cluster].tolist() for i in X])\n",
    "    for i in ['anterior','posterior','left','right','dorsal','ventral']:\n",
    "        set_view(neuronvis,i)\n",
    "        neuronvis.render.savepng(CEA_data_path+f'cluster_{cluster+1}_terminal_{i}_.png')\n",
    "neuronvis.render.closeWindow()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x144 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = {}\n",
    "for cluster in [1,9,2,3,4,8,7,6,5]:\n",
    "    X[cluster] = []\n",
    "    for i in Scene.scene2List(CEA_data_path+f'_cluster_{cluster}.nv'):\n",
    "        neuron = i['sampleid']+i['name']\n",
    "        X[cluster].append(Isocortex_neuron_info[neuron]['axonal_projection_terminal_left']+Isocortex_neuron_info[neuron]['axonal_projection_terminal_right'])\n",
    "fig, ax = plt.subplots(1,len(X),figsize=(2*len(X),2))\n",
    "for i,j in enumerate(X):\n",
    "    tmp = np.mean(np.array(X[j]),axis=0)\n",
    "    ax[i].barh(range(3,0,-1),tmp[:3],color=color_pool[0],height=0.4)\n",
    "    ax[i].barh(range(3,0,-1),tmp[3:],left=tmp[:3],color=color_pool[3],height=0.4)\n",
    "    ax[i].set_title(f'cluster {j}')\n",
    "    if i==0:\n",
    "        ax[i].set_yticks(range(3,0,-1),CEA_region)\n",
    "    else:\n",
    "        ax[i].set_axis_off()\n",
    "plt.rcParams['pdf.fonttype'] = 42\n",
    "plt.rcParams['ps.fonttype'] = 42\n",
    "plt.savefig(CEA_data_path+'cluster_in_CEA_projection.pdf',format='pdf',bbox_inches='tight')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.13 ('CX')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "6684bfb8f990107dc2e41da7bb6829210ca36b987584a9d9d8b153337675e487"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
